Results 151 to 160 of about 217,704 (247)

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source

Exceptional Antimodes in Multi‐Drive Cavity Magnonics

Advanced Electronic Materials, EarlyView.
Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith, Ryan D. McKenzie, Alban Joseph, Robert L. Stamps, Rair Macêdo   +4 more
wiley   +1 more source

Bound states in the continuum: From fundamental physics to emerging photonic paradigms. [PDF]

iScience
Zhang S, Fan Y, Ma Y, Zong M, Sun H, Yang Z, Xu Z.   +6 more
europepmc   +1 more source

Emergence of Double‐Dome Superconductivity in the Pressurized Dirac Semimetal BaMg2Bi2

Advanced Electronic Materials, EarlyView.
ABSTRACT Dirac semimetal BaMg2${\rm BaMg}_{2}$Bi2${\rm Bi}_{2}$ is reported to be a unique topological material that manifests surface superconductivity that coexists with bulk band topology at ambient pressure. Here, we present a comprehensive investigation of high‐pressure superconducting properties in BaMg2${\rm BaMg}_{2}$Bi2${\rm Bi}_{2}$ single ...
Qi Wang, Juefei Wu, Cuiying Pei, Yi Zhao, Yiyan Wang, Yanpeng Qi   +5 more
wiley   +1 more source

Unveiling the reaction mechanism and the regioselectivity of Diels-Alder cycloadditions between 2-methoxy-3-thiophenylbutadiene and methyl vinyl ketone using topological tools. [PDF]

RSC Adv
Chellegui M, Mohammed Salih SA, Benhamed L, Mohammad-Salimd HA, Ben Ahmed A.   +4 more
europepmc   +1 more source

Topological Materials and Related Applications

Advanced Electronic Materials, EarlyView.
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti, Roberto Mantovan, Emanuele Longo, Harold J. W. Zandvliet, Pantelis Bampoulis, Yu Pan, Fan Li, Xia Wang, Payton Downey, Alessandro Molle   +9 more
wiley   +1 more source

Comparative entropy analysis of 2D transition metal tetrahydroxyquinones via machine learning approaches. [PDF]

Sci Rep
Irfan M, Bashir N, Gaid ASA, Althobaiti T, Rehman HU, Semaničová-Feňovčíková A.   +5 more
europepmc   +1 more source

Research Progress and Applications of Non‐Carrier‐Injection Electroluminescence

Advanced Electronic Materials, EarlyView.
Non‐carrier‐injection electroluminescence (NCI‐EL) uses AC fields and displacement currents to trigger light from internal charge reservoirs, enabling minimalist emitters with remotely coupled terminals. This review maps shared mechanisms across organics, GaN, quantum dots, and TMDCs, compares planar, interdigital, single‐terminal, and coaxial designs,
Wei Huang, Jianbi Le, Rong Chen, Zhixian Lin, Xiongtu Zhou, Yongai Zhang, Chaoxing Wu   +6 more
wiley   +1 more source

A hybrid framework of hesitant fuzzy soft sets and rough sets for uncertainty modelling. [PDF]

Sci Rep
Jahanvi, Nishad DK, Singh R, Khalid S.
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source